Google's CMO: "2026 Is the Year That Separates Brands That Scale AI From Those That Merely Test It"
Lorraine Twohill, CMO at Google, delivered a stark prediction: brands still running isolated AI experiments will fall behind. The focus now must be on deploying end-to-end AI strategies that deliver measurable business outcomes — not tooling pilots. Legacy processes and ingrained habits are the real blockers. For enterprise leaders, the message is clear: AI must be embedded across the entire workflow, from insights through production to measurement.
Read on Brandsynario →Gallup: Half of US Employees Now Use AI at Work
For the first time in Gallup's measurement, 50% of employed American adults say they use AI at least a few times a year — up from 46% last quarter. More striking: 28% now use AI weekly or more. But here's the workforce angle: employees at AI-adopting organizations report more disruption and more staffing changes in both directions. Large enterprises (10K+ employees) with AI are more likely to be reducing headcount than expanding it.
Read on Gallup →Adobe CEO Steps Down After 18 Years — Next Leader Must "Prep for the Age of Agents"
Shantanu Narayen announced his departure from Adobe after nearly two decades. Analysts say the top priority for his successor is reshaping Adobe's products and strategy for the next wave of agentic AI. Adobe Summit 2026 kicks off April 20 in Las Vegas, where the company will showcase how it's positioning Creative Cloud and Marketing Cloud for an AI-first future. The timing isn't coincidental.
Read on Computerworld →AI Search Adoption Splits Along Income Lines
New data from MarTech shows higher-income, higher-value audiences are adopting AI search tools faster — fragmenting search behavior and reshaping purchase decisions before anyone even clicks. For enterprises, this creates a dual challenge: optimize for traditional search and figure out how to surface in AI-generated answers. The audience gap means your most valuable prospects may be the hardest to reach through legacy channels.
Read on MarTech →HubSpot's Breeze AI Agents Go Outcome-Based: $0.50 Per Resolution
HubSpot's AI agents are now priced on outcomes — $0.50 per customer service resolution or $1.00 per qualified lead. This pricing model shift signals where enterprise AI is headed: away from seat-based licensing toward pay-for-performance. It's a preview of how AI will fundamentally change the economics of SaaS and customer operations.
Read on Improvado →💡 My Take
Read this one: The Gallup workforce study. We talk a lot about AI adoption rates, but this is the first major research showing how it's actually reshaping org structures. The finding that large AI-adopting companies are more likely to be reducing headcount should be a wake-up call. The question isn't just "how do I use AI?" — it's "what does my role look like when AI is doing 28% of the work weekly?"